Update src/RAGSample.py

src/RAGSample.py

@@ -525,9 +525,9 @@ class RAGApplication:
         try:
             if not question.strip():
                 return "Please provide a valid question."
-    
+
             print(f"\nProcessing question: '{question}'")
-    
+
             if hasattr(self.retriever, "get_documents_with_confidence"):
                 docs_with_scores = self.retriever.get_documents_with_confidence(question)
                 documents = [Document(page_content=d["document"]) for d in docs_with_scores]
@@ -535,25 +535,27 @@ class RAGApplication:
             else:
                 documents = self.retriever.invoke(question)
                 confidence_info = "Confidence scoring not available."
-    
+
             print(f"Retrieved {len(documents)} documents")
             print(confidence_info)
-    
+
             doc_texts = "\n\n".join([doc.page_content for doc in documents])
             if len(doc_texts) > 500:
                 doc_texts = doc_texts[:500] + "..."
-    
+
             answer = self.rag_chain.invoke({"question": question, "documents": doc_texts})
-    
+
             # Append confidence footer
             footer = "\n\n(Note: This answer is based on documents with confidence scores. Review full context if critical.)"
             return answer.strip() + footer
-    
-            except Exception as e:
-                print(f"Error in RAG application: {str(e)}")
-                import traceback
-                traceback.print_exc()
-                return f"I apologize, but I encountered an error processing your question: {str(e)}. Please try rephrasing it or ask a different question."
+
+        except Exception as e:
+            print(f"Error in RAG application: {str(e)}")
+            import traceback
+            traceback.print_exc()
+            return f"I apologize, but I encountered an error processing your question: {str(e)}. Please try rephrasing it or ask a different question."
+
+
 
 
 # Main execution block